Renjing Xu
22 papers · 2023–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15)
🧭
Keyword Pioneer
👑
Triple Crown
🏆
Grand Slam
🗃️
Keyword Collector
(83)
⚡
Prolific Year
(6)
💎
Century Club
(18)
Conferences
AAAI (4)
ACL (3)
ECCV (3)
ICLR (3)
CVPR (2)
ICCV (2)
ICML (2)
NIPS (2)
WACV (1)
Top co-authors
Keywords
spiking neural network
(5)
image generation
(3)
energy efficiency
(3)
diffusion model
(3)
artificial neural network
(2)
reinforcement learning
(2)
ann-to-snn conversion
(2)
uncertainty quantification
(1)
vision transformer
(1)
model compression
(1)
policy gradient
(1)
temporal dynamics
(1)
object recognition
(1)
knowledge distillation
(1)
neural rendering
(1)
vision-language navigation
(1)
embodied ai
(1)
object tracking
(1)
policy optimization
(1)
adversarial training
(1)
Papers
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
ACL 2026
FARM: Frame-Accelerated Augmentation and Residual Mixture-of-Experts for Physics-Based High-Dynamic Humanoid Control
AAAI 2026
Gentle Manipulation Policy Learning via Demonstrations from VLM Planned Atomic Skills
AAAI 2026
TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
AAAI 2026
Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity
ICCV 2025
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks
AAAI 2025
MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation
ACL 2025
Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models
CVPR 2025
Optimal Brain Apoptosis
ICLR 2025
Simple Policy Optimization
ICML 2025
PFGS: High Fidelity Point Cloud Rendering via Feature Splatting
ECCV 2024
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
NIPS 2024
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
ICLR 2024
Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation
ICLR 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
ACL 2024
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
ICML 2024
Spiking Neural Network as Adaptive Event Stream Slicer
NIPS 2024
Spiking Denoising Diffusion Probabilistic Models
WACV 2024
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models
ECCV 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
CVPR 2024
Spiking Wavelet Transformer
ECCV 2024
Masked Spiking Transformer
ICCV 2023